Description Usage Arguments Details Value Author(s) References Examples
This function fits a three-state HMM with mixture model of Negative Binomials for differential peaks across conditions with replicates. It differs from mixHMM in the sense that it imposes constraints in the parameters pertaining to the differential component. Specifically, all probabilistic distributions from the differential components share a common set of two parameters pertaining to the mean, and two para meters pertaining to the dispersion.
1 | mixHMMdiffConstr(ChIP, Control = NULL, offset, group, B, control)
|
ChIP |
M*N matrix of ChIP read counts, where M is the number of windows in the analyzed genome and N is the number of conditions*replicates. |
Control |
M*N matrix of log-transformed Control read counts |
offset |
M*N matrix of offsets. If no offset is used, use offset = matrix(0,nrow=M,ncol=N) |
group |
vector of length N with condition (numeric) labels (e.g. c(1,1,2,2,3,3) for three conditions and two replicates each) |
B |
number of mixture distributions in the differential component |
control |
list of control arguments from controlPeaks() |
For ChIP, Control, and offset matrices, columns should be ordered by condition and replicates, respectively. For instance, the first column should have data from the first replicate of the first condition, the second column should have data from the second replicate of the first condition, and so on. The same applies for the elements of group.
A list with components
Pedro L. Baldoni, pedrobaldoni@gmail.com
https://github.com/plbaldoni/mixHMM
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